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Cited by 1,595

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Brand Love

Batra, Rajeev, Ahuvia, Aaron, Bagozzi, Richard P.·2012·Journal of Marketing

Abstract

Using a grounded theory approach, the authors investigate the nature and consequences of brand love. Arguing that research on brand love needs to be built on an understanding of how consumers actually experience this phenomenon, they conduct two qualitative studies to uncover the different elements (“features”) of the consumer prototype of brand love. Then, they use structural equations modeling on survey data to explore how these elements can be modeled as both first-order and higher-order structural models. A higher-order model yields seven core elements: self–brand integration, passion-driven behaviors, positive emotional connection, long-term relationship, positive overall attitude valence, attitude certainty and confidence (strength), and anticipated separation distress. In addition to these seven core elements of brand love itself, the prototype includes quality beliefs as an antecedent of brand love and brand loyalty, word of mouth, and resistance to negative information as outcomes. Both the first-order and higher-order brand love models predict loyalty, word of mouth, and resistance better, and provide a greater understanding, than an overall summary measure of brand love. The authors conclude by presenting theoretical and managerial implications.

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Metadata

Authors
Batra, R., Ahuvia, A., & Bagozzi, R. P.
Venue
Journal of Marketing
Published
2012-03
Volume
76
Issue
2
Pages
1-16
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W4255798239
Cited by
1,595
References
10
FWCI
79.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Brand Love. https://app.cochat.ai/papers/10.1509/jm.09.0339
The paper
Batra, R., Ahuvia, A., & Bagozzi, R. P. (2012). Brand Love. Journal of Marketing. https://doi.org/10.1509/jm.09.0339

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.